Data Engineer

1 mese fa

Re, Italia DHAL INFORMATION SYSTEM A tempo pieno
Data Engineer Location Alpharetta GA Salary $69/hr W2 The Data System Engineer will be responsible for tasks such as data engineering data modeling ETL processes data warehousing and data analytics & science. Our platform run both on premise and on the cloud (AWS/Azure).

Knowledge/Skills:
Able to establish modify or maintain data structures and associated components according to design
Understands and documents business data requirements
Able to come up with Conceptual and Logical Data Models at Enterprise Business Unit/Domain Level
Understands XML/JSON and schema development/reuse database concepts database designs Open Source and NoSQL concepts
Partners with Sr. Data Engineers and Sr. Data architects to create platform level data models and database designs
Takes part in reviews of own work and reviews of colleagues work
Has working knowledge of the core tools used in the planning analyzing designing building testing configuring and maintaining of assigned application(s)
Able to participate in assigned teams software delivery methodology (Agile Scrum TestDriven Development Waterfall etc.) in support of data engineering pipeline development
Understands infrastructure technologies and components like servers databases and networking concepts
Write code to develop maintain and optimized batch and event driven for storing managing and analyzing large volumes of structured and unstructured data both
Metadata integration in data pipelines
Automate build and deployment processes using Jenkins across all environments to enable faster highquality releases

Qualification:
Up to 4 years of software development experience in a professional environment and/or comparable experience such as:

Understanding of Agile or other rapid application development methods
Exposure to design and development across one or more database management systems DB2 SybaseIQ Snowflake as appropriate
Exposure to methods relating to application and database design development and automated testing
Understanding of big data technology and NOSQL design and development with variety of data stores (document column family graph etc.)
General knowledge of distributed (multitiered) systems algorithms and relational & nonrelational databases
Experience with Linux and Python scripting as well as large scale data processing technology such as spark
Exposure to Big data technology and NOSQL design and coding with variety of data stores (document column family graph etc.)
Experience with cloud technologies such as AWS and Azure including deployment management and optimization of data analytics & science pipelines
Nice to have: Collibra Terraform Java Golang Ruby Machine Learning Operation deployment
Bachelors degree in computer science computer science engineering or related field required

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